Table 2: Maximum Likelihood Estimates of the Logit Model
|
Variable |
Estimate |
Standard Error |
Change in Probability |
|
Intercept |
-0.6511 |
0.5856 |
-0.1252 |
|
Male* |
-0.5174 |
0.2993 |
-0.0995 |
|
Age1 |
0.3912 |
0.4382 |
0.0752 |
|
Age2*** |
0.9951 |
0.4236 |
0.1914 |
|
Age3* |
0.6106 |
0.3632 |
0.1174 |
|
Suburb*** |
1.1973 |
0.4766 |
0.2302 |
|
Rural* |
0.9918 |
0.5811 |
0.1908 |
|
Household_Size** |
-0.9059 |
0.4609 |
-0.1742 |
|
2Children* |
0.9396 |
0.5132 |
0.1807 |
|
Prime |
0.1524 |
0.3736 |
0.0293 |
|
Organic* |
0.5646 |
0.3084 |
0.1086 |
|
Media |
-0.1577 |
0.3474 |
-0.0303 |
|
Education |
-0.0036 |
0.3291 |
-0.0007 |
|
HiIncome |
0.0764 |
0.3205 |
0.0147 |
Ratio of nonzero observations to the total number of observations: 0.28
*: significant at the .10 level
**: significant at the .05 level
***: significant at the .01 level
Table 3: Prediction Success for the Logit Model
|
Predicted | |||
|
Predicted | |||
|
о____________ |
1___________________________ | ||
|
0 |
9 |
72 | |
|
Actual |
________________1_____________________________ |
11______________ |
199____________ |
Number of correct predictions: 208
Percentage of correct predictions: 72
12
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